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EChars chart is a dynamic statistical chart, with animation effects, and provides a toolbar, which can perform various operations on the statistical chart: add auxiliary lines, switch statistical charts, view data views, save as pictures, etc.
EChars charts do not support printing and exporting.
Column charts are used to show comparisons between items and differences in data between each item
Example of a column chart:
Line charts are used for continuous data that changes over time to show how the data increases or decreases at equal time intervals.
Example of a line chart:
Stacked bar charts are used to display the total data for each category and how the data varies between categories.
Example of a stacked bar chart:
Multidimensional bar charts can clearly represent the data gaps between categories.
Example of a multidimensional bar chart:
Cyclone bar charts clearly show data gaps between categories, both negative and positive.
Example of a cyclone bar chart:
A pie chart can clearly show the proportional relationship between each data value and the total value.
Pie chart example:
The doughnut chart, like the pie chart, can clearly represent the proportional relationship between each data value and the total value.
The multi-layer doughnut chart can clearly represent the proportional relationship between the various values.
Example of a multi-layered donut chart:
Radar charts are used to display changes in data relative to the center point and other data points (a radar chart can only be formed by at least three categories).
Example of a radar chart:
Dashboards are used to display the interval in which the data is located and clearly see where the data is located.
Dashboard 1 example:
Dashboard 2 example:
Dashboard 6 example:
Dashboard 3 example:
The K-line chart is used to completely record the daily stock market conditions and the battles between buyers and sellers of the stock market, so that users can clearly see the historical trend of stock prices in the past few days, one week, one month, one year and several years.
K-line chart example:
The real-time pointer graph shows where the data is located in real-time.
Example of a real-time pointer graph:
Graphs can display continuous data over time and can display data corresponding to different categories on two axes.
Example of a graph:
The map can clearly represent the corresponding data of each region, province and city.
Map example:
The Baidu Maps extension clearly simulates migration from one geographic location to another.
Baidu map extension example:
The map label clearly shows the data intensity of a certain location through the flag of the glare effect.
Example of map labeling:
The Map Extension - Interior Fitting Analysis clearly describes the geographic location of each orientation of the building and the migration simulation between orientations.
Map Extension - Interior Fitting Analysis Example:
